Furthermore, experimental data might contain high noise levels and it is known that pure sparse regression based model discovery cannot handle noise levels above 5 \(\%\) , see [1]}, [2]}. For such cases, deep learning model discovery frameworks, that combine deep neural networks, automatic differentiation with sparse regression excel, see [3]}, [4]}, [5]}.

